Framing human rights: exploring storytelling within internet companies

This article explores human rights storytelling within two of the dominant internet companies, Google and Facebook. Based on interview with company staff as well as analysis of publicly available statements, the article examines how human rights are framed, made sense of and translated into company norms, products, and governance structures. The paper argues that the companies’ framing in many respects resembles that of the United States’ online freedom agenda, celebrating the liberating power of the internet and perceiving human rights as primarily safeguards against repressive governments. The companies see freedom of expression as part of their DNA and do not perceive any contradiction between this standard and business practices that may impact negatively on users’ freedom of expression, such as terms of service enforcement. Likewise, there is no sense of conflict between the online business model and their users’ right to privacy.     

Beyond Google: Bibliographic Transformation to Connect Users to Good Content

ABSTRACT

At the 2017 North Carolina Serials Conference, keynote speaker Regina Romano Reynolds—Director, U.S. ISSN Center and Head, ISSN Section at the Library of Congress—explored how bibliographic transformation can connect users to good-quality content. Offering examples of current and potential serials management projects, Reynolds shared her vision for breaking down information silos, experimenting in the resource management space, and the need for visionary leadership.     

语料库与商务英语文本翻译研究

本文提出利用语料库的翻译系统有效地解决在不同语境下的语言转换问题,即机器翻译模型的建立与应用。指出通过检测现在最具代表性的基于庞大互联网语料库的翻译机＂谷歌翻译＂的模型,能够解决它在商务文本翻译中信度的不足。     

An investigation of the attention effects of venture capitalist backing on entrepreneurial firms

In this paper, we predict that venture capital (VC) backed initial public offerings (IPOs) will attract more attention than non-VC-backed IPOs, as VCs offer important signals to investors searching for information about entrepreneurial firms. We use a measure developed by Google (i.e., Trends) to capture the spikes in investors' attention experienced by firms in the time period surrounding their IPOs. Our results demonstrate that firms backed by VCs enjoy a far greater spike in attention than their counterparts. Furthermore, we find that firms with more prominent VCs, a larger number of VCs, and VCs situated at farther geographic distances exhibit significantly greater spikes in investors’ attention during the week of their IPO. Combined, the findings show a clear demarcation between entrepreneurial firms with or without VC backing, they bring to the fore new upshots stemming from the relationship between VCs and entrepreneurial firms, and they raise new potential questions on this relationship and beyond.     

International visibility as determinants of foreign direct investment: An empirical study of Chinese Provinces

While previous studies use economic and institutional variables to explain transnational investment operations, we argue that regionally-specific international visibility can significantly influence the investment decisions of foreign firms with spatial and temporal dynamics. Empirically, we extract the usage frequency of the names of all of the Chinese provinces in millions of English-language books from Google Books N-gram corpus to construct the index of international visibility as a proxy measurement of international prominence. Results from dynamic panel data analysis (1994–2004) using the Generalized Method of Moments demonstrate that the level of international visibility of a province has a positive effect on the inflows of foreign direct investments, controlling for a set of economic and institutional factors. Further analyses show that this visibility effect varies with different state images of China formed in various historical periods and is stronger with regard to inland provinces compared to coastal provinces. Our results are robust across alternative corpora and different model specifications.     

Strengthening urban community governance through geographical information systems and participation: An evaluation of my Google Map and service coordination

It is increasingly common for urban planners and local policymakers to adopt interactive technologies, such as geographical information systems (GISs), to inform their decision making and to enhance performance. This paper aimed to assess the role that interactive technology can play in enhancing urban governance to meet social needs by improving local organisations’ capacities, client access, and service effectiveness and responsiveness, as well as community building. Using the previous research framework on mapping community capacity developed by Brudney et al. (Community Development Journal, 2016, 52, 354) and Çöltekin et al. (Cartography and Geographic Information Science, 2009, 36, 5–17), we examined a simulated online interactive map for service provision in Hong Kong and interviewed around 20 local community organisations and 100 local residents about their user experience, their willingness to support its long-term adoption and their challenges. Our findings reveal that local residents find the interactive map helpful, particularly in improving service access, whereas local organisations are more reluctant to adopt such technology due to high maintenance costs. The implications of our study include the need to develop incentives to encourage technology adoption, to improve the capacity of local organisations and to establish better links between community organisations and local residents to identify sustainable financing (through crowdsourcing) for GIS applications to improve urban community governance.     

Bibliometrics: Understanding Author-, Article- and Journal-Level Metrics

ABSTRACT

Numerous types of metrics are available to assist in the evaluation of scholarship. The focus for this column of In Lay Terms is bibliometrics, the quantitative analysis of publication data using article-, author-, and journal-level data. Citation analysis is the most commonly used bibliometric method. It includes analyzing the number of articles published by an author, the number of citations from those articles, and the ranking of the journals in which those articles were published. This column compares bibliometrics found in Web of Science, Scopus, and Google Scholar and considers the relationship of these metrics to the field of library and information science.     

Using EZproxy and Google Analytics to Evaluate Electronic Serials Usage

ABSTRACT

The purpose of the study is to evaluate electronic usage statistics for Belk Library at Elon University. The Electronic Resources Office (ERO) collects usage data for all serials—both print and electronic—, ebooks, and electronic databases. This study used ezPAARSE and Google Analytics to analyze the data from our website, and we will use these data to compare our vendor statistics to get a more complete picture of how the library's electronic resources are being used.     

Can unemployment forecasts based on Google Trends help government design better policies? An investigation based on Spain and Portugal

The Covid-19 pandemic has increased the unemployment issue and accelerated the digital transformation. Real-time data specific to ongoing revolution in applied economic analysis are increasingly demanded to anticipate changes in unemployment to improve decision-making. The aim of this paper is to test whether unemployment rate forecasts based on Google Trends data improve the predictions based only on macroeconomic indicators published with a longer time lag. The research has been carried out at the national level for Spain and Portugal, and the main novelty is the analysis of unemployment rate forecasts at the regional level for Spain using dynamic panel data models to implement the best policies to reduce unemployment. The keywords unemployment and job offers have been used in each language. The results obtained demonstrate the capacity of Google Trends data associated with unemployment to improve the predictions of unemployment rates in Spanish regions. Moreover, predictions based on Google Trends data at national level in Spain and Portugal are significantly more accurate than those based on autoregressive models for both countries.     

谷歌流感趋势的成功与失误

大数据时代下机遇与挑战并存,如何基于传统方法去处理大数据引人深思,一味地追求大数据也不一定正确。本文以谷歌流感趋势(GFT)为案例,介绍了大数据在疾病疫情监测方面的主要技术及相关成果,阐述了大数据在使用中的关键问题,并结合复杂的统计学工具给出了一些改进措施。谷歌流感趋势的成功取决于相关关系的应用,其失误却来源于模型的构造、因果关系和相关关系的冲突等问题。谷歌流感趋势案例的分析与启示对政府今后在大数据解决方案中有重要的理论和实践意义。